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2024 Vol.43, Issue 2 Preview Page

Research Article

A relevance-based pairwise chromagram similarity for improving cover song retrieval accuracy

커버곡 검색 정확도 향상을 위한 적합도 기반 크로마그램 쌍별 유사도

Jin Soo Seo1*
서 진수1*
1강릉원주대학교 전자공학과
*Corresponding Author
31 March 2024. pp. 200-206
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Abstract

Computing music similarity is an indispensable component in developing music search service. This paper proposes a relevance weight of each chromagram vector for cover song identification in computing a music similarity function in order to boost identification accuracy. We derive a music similarity function using the relevance weight based on the probabilistic relevance model, where higher relevance weights are assigned to less frequently-occurring discriminant chromagram vectors while lower weights to more frequently-occurring ones. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

Keywords
Cover song identification
Music similarity
Probabilistic relevance model
Search weight

음악 유사도 계산은 음악 검색 서비스 구현에서 중요한 구성 요소 중 하나이다. 본 논문은 커버곡 검색 성능을 제고하기 위해서, 크로마그램 벡터 별로 커버곡 검색 적합도를 구하여 음악 유사도 계산 시 가중치로 활용한다. 커버곡 검색 적합도는 확률 적합도 모델을 이용하여 구한다. 커버곡 검색에 도움이 될 수 있는 분별도가 높은 벡터에 높은 가중치를 부여하고, 흔하게 존재하여 분별도가 떨어지는 벡터에 낮은 가중치를 부여하는 방식으로 음악 유사도 함수를 유도한다. 두 가지 커버곡 실험 데이터셋에서 성능 비교를 수행하여 제안한 음악 유사도 함수가 커버곡 검색 성능을 개선시킬 수 있음을 보였다.

키워드
커버곡 검색
음악 유사도
확률 적합도 모델
검색 가중치
References
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 43
  • No :2
  • Pages :200-206
  • Received Date : 2023-10-11
  • Accepted Date : 2024-01-09
  • DOI :https://doi.org/10.7776/ASK.2024.43.2.200
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